https://github.com/cbouy/bokehmol
Bokeh extensions to plot molecules easily
https://github.com/cbouy/bokehmol
bokeh cheminformatics interactive-visualizations jupyter rdkit
Last synced: 3 months ago
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Bokeh extensions to plot molecules easily
- Host: GitHub
- URL: https://github.com/cbouy/bokehmol
- Owner: cbouy
- License: apache-2.0
- Created: 2023-07-20T00:51:27.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2024-03-21T12:56:56.000Z (about 1 year ago)
- Last Synced: 2025-02-01T10:51:14.746Z (3 months ago)
- Topics: bokeh, cheminformatics, interactive-visualizations, jupyter, rdkit
- Language: HTML
- Homepage:
- Size: 153 KB
- Stars: 9
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# bokehmol, gotta plot them mol! ⌬
[](https://www.rdkit.org/)
**bokehmol** provides custom extensions that help plotting molecules with the
[Bokeh](https://docs.bokeh.org/) library.It currently provides hover tools that can depict molecules **on-the-fly** using SMILES: no need to
pre-generate the depictions and store them in memory anymore! Everything is rendered client-side in
the browser so you don't even need to install rdkit in your Python environment.
## [Installation](https://pypi.org/project/bokehmol/)
Bokehmol only requires bokeh as a dependency. You can install it with:
```
pip install bokehmol
```## [Notebooks](https://github.com/cbouy/bokehmol/tree/master/notebooks)
Some examples on how to use the library [here](https://rawcdn.githack.com/cbouy/bokehmol/9ee061268dee125268489041586dac5e757fa6a3/notebooks/quickstart.html)
## [Discussions](https://github.com/cbouy/bokehmol/discussions)
Feature requests or questions on how to use should be posted [here](https://github.com/cbouy/bokehmol/discussions)
## [Issues](https://github.com/cbouy/bokehmol/issues)
Bug [tracker](https://github.com/cbouy/bokehmol/issues) 🐞